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Prompt Engineer Jobs in Highland, IN (NOW HIRING)

Senior GenAI/Python Engineer

Chicago, IL · Remote

$124K - $167K/yr

Prompt Engineering * Structured LLM Output * JSON Schema & Pydantic * RAG & Vector Search * Embeddings & Chunking * Hybrid Search & Reranking * Entity Resolution & Fuzzy Matching * Confidence Scoring ...

Python Developer

Chicago, IL · On-site

$51.75 - $71.25/hr

About the Role This engineer will play a crucial role in enhancing AI applications to improve ... Additionally, they will work on fine-tuning AI models, optimizing Prompt Engineering, RAG, and ...

Python Developer

Chicago, IL · On-site

$51.75 - $71.25/hr

About the Role This engineer will play a crucial role in enhancing AI applications to improve ... Additionally, they will work on fine-tuning AI models, optimizing Prompt Engineering, RAG, and ...

AI Engineer - Enterprise Business Systems

Chicago, IL · On-site

$110K - $137K/yr

Design and implement prompt frameworks, templates, and reusable patterns optimized for enterprise ... Partner with product, analytics, and engineering teams to create intuitive AI-powered user ...

Lead AI/Python Developer

Chicago, IL · On-site

$144K - $177K/yr

This engineer will play a crucial role in enhancing AI applications to improve customer experience ... Additionally, they will work on fine-tuning AI models, optimizing Prompt Engineering, RAG, and ...

Lead AI/Python Developer

Chicago, IL · On-site

$144K - $177K/yr

This engineer will play a crucial role in enhancing AI applications to improve customer experience ... Additionally, they will work on fine-tuning AI models, optimizing Prompt Engineering, RAG, and ...

Senior Value Engineer - Manufacturing

Chicago, IL · On-site

$107K - $147K/yr

In this role, you will combine hands-on technical validation (SQL, Python, Prompt Engineering) with high-level strategy-redesigning processes via agentic automation, steering data architectures, and ...

Apply prompt engineering, tool and function calling, and rigorous evaluation to make agents accurate, reliable, and production-ready * Leverage MLOps/LLMOps best practices to deploy, monitor ...

Apply prompt engineering, tool and function calling, and rigorous evaluation to make agents accurate, reliable, and production-ready * Leverage MLOps/LLMOps best practices to deploy, monitor ...

Apply prompt engineering, tool and function calling, and rigorous evaluation to make agents accurate, reliable, and production-ready * Leverage MLOps/LLMOps best practices to deploy, monitor ...

Experience designing, deploying, and operating production LLM applications, with practical knowledge of model evaluation, prompt engineering, tool calling, context management, agent orchestration ...

Experience designing, deploying, and operating production LLM applications, with practical knowledge of model evaluation, prompt engineering, tool calling, context management, agent orchestration ...

AI Engineer

Chicago, IL · On-site

$120K - $130K/yr

LLMs; prompt engineering; RAG; autonomous decision frameworks; Python/R/SQL/SAS; vector databases; semantic search; knowledge graphs; metadata management; production ML/AI deployment, monitoring ...

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

Showing results 21-40

Prompt Engineer information

See Highland, IN salary details

$9

$43

$81

How much do prompt engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for prompt engineer in Highland, IN is $43.45, according to ZipRecruiter salary data. Most workers in this role earn between $33.03 and $56.11 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What cities near Highland, IN are hiring for Prompt Engineer jobs?

Cities near Highland, IN with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Highland, IN as of August 2026, with employment types broken down into 6% Internship, 73% Full Time, 15% Part Time, and 6% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $90,374 per year, or $43.4 per hour.

Senior GenAI/Python Engineer

Northern Base

Chicago, IL • Remote

$124K - $167K/yr

Full-time

Re-posted 2 days ago


Job description

Hiring Alert | Senior GenAI/Python Engineer

Location: Chicago, IL (Remote)
Employment Type: Full-Time
Experience Required: 7–9 Years
Visa Type: USC / GC Only

Must-Have Skills:
  • Advanced Python Development
  • Production-Grade Python Coding
  • GenAI / LLM Application Development
  • OpenAI / Azure OpenAI / Anthropic / AWS Bedrock
  • Agentic AI Development
  • LLM-Powered Agents
  • LangChain / LangGraph / LlamaIndex
  • Intent Classification
  • Agentic Extraction & Multi-Step Orchestration
  • Function Calling & Tool Use
  • Prompt Engineering
  • Structured LLM Output
  • JSON Schema & Pydantic
  • RAG & Vector Search
  • Embeddings & Chunking
  • Hybrid Search & Reranking
  • Entity Resolution & Fuzzy Matching
  • Confidence Scoring & Disambiguation
  • Vector Databases: pgvector / Pinecone / Weaviate / OpenSearch
  • FastAPI / Flask / Django
  • Async Python
  • Parallel LLM & API Orchestration
  • SQL & Large Analytical Datasets
  • Azure / AWS / GCP
  • Pytest & Test Automation
  • Git & CI/CD
  • Docker
  • Guardrails & Validation
  • GenAI Evaluation & Regression Testing
Preferred Experience:
  • 5+ years of advanced professional Python development
  • 1.5+ years of hands-on production GenAI / LLM application development
  • Experience building domain-specific agents and agentic workflows
  • Experience developing natural-language-to-structured JSON payload pipelines
  • Strong experience with structured output enforcement and JSON schema validation
  • Experience implementing retry, repair, validation, and error-handling strategies for LLM outputs
  • Experience designing RAG and semantic search solutions
  • Experience with entity resolution, fuzzy matching, confidence thresholds, and disambiguation
  • Experience building FastAPI-based microservices
  • Experience with asynchronous Python and parallel API/LLM calls
  • Experience developing evaluation harnesses, test sets, and regression frameworks
  • Experience with metadata/catalog services and entitlement-aware data access
  • Experience collaborating with platform, data, service, and product teams
  • Strong experience with code reviews, design discussions, and production readiness reviews
  • Excellent technical documentation skills including Confluence, ADRs, sequence diagrams, and flow diagrams
  • Strong communication and stakeholder collaboration skills
Education:

Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field preferred.

Tech Stack:

Python | GenAI | LLM | OpenAI | Azure OpenAI | Anthropic | AWS Bedrock | LangChain | LangGraph | LlamaIndex | Agentic AI | RAG | Vector Search | Embeddings | Pinecone | pgvector | Weaviate | OpenSearch | FastAPI | Async Python | Pydantic | JSON Schema | Function Calling | Prompt Engineering | Guardrails | Pytest | Git | CI/CD | Docker | SQL | Azure | AWS | GCP